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10-Year Archive

Humanizing Tech

Diary of a Madman, Page 35

10,500 people peering inside. Don’t get trapped.

I. This Week’s Analyses

The letter experiment from last week seems to be working so we’ll keep it going this week.

II. Update on Artificial Intelligence Versus Biologic Intelligence

Y Combinator has created an entire group for one of their batches around the mathematic approach to AI. If I were you, I’d be considerably concerned they haven’t even considered the biologic approach. Note that they use the word “innovation” and not “invention”. Quite the dismal sign for power law returns.

Alternatively, DARPA’s new program pretty much spells out exactly what PROME spent 6 years building.

But even the smartest of the current crop of AI systems can’t stack up against adaptive biological intelligence. These high-profile examples of AI all rely on clever programming and extensive training datasets — a framework referred to as Machine Learning (ML) — to accomplish seemingly intelligent tasks. Unless their programming or training sets have specifically accounted for a particular element, situation, or circumstance, these ML systems are stymied, unable to determine what to do.
That’s a far cry from what even simple biological systems can do as they adapt to and learn from experience. And it’s light years short of how, say, human motorists build on experience as they encounter the dynamic vagaries of real-world driving — becoming ever more adept at handling never-before-encountered challenges on the road.

A few other things you should consider:

  1. Other AI startups are writing about the limits of the mathematic approach, hoping to find a solution. They don’t yet know about PROME’s Biologic Intelligence product. You’re one of the trusted few who do. Why? Defensibility.
  2. Relying on data, where there is none, has limits. Luckily we have a year’s worth of content (so far) pointing to Biologic Intelligence as the next wave Intelligence.
  3. Throwback to the most important AI analysis we ever did write.
  4. PROME is getting a number of corporate introductions as we were chosen as 1 of 22 companies out of 1,000 who applied to be part of Plug & Play’s second Mobility batch. Know who else got chosen? The CEO & CoFounder of Mobileye’s next startup and Auro.
  5. Biologic Intelligence is here, the knowledge just isn’t evenly distributed.
  6. In terms of the fundraising environment for novel AI, we can vouch for this New York Times article showing why startups are looking towards China for capital when the US just doesn’t get it. Though Neurala is still using the same ole mathematic approach, nothing novel there. We talked to CNBC about it for a story they were doing on the startup.

III. Newsworthy News

No growth hacks. No paid marketing. No ads. Nothing but writing. Writing, writing, writing. And making daily quality content. Climbing up the Alexa rankings, climbing up 300,000 spots over the last 3 months.

  • Startup Stats: Per PitchBook, median Seed Series valuations are at $8M now while the C round is above $100M. Everything looking up for quality businesses. Here’s a bunch of charts showing the fundraising path to IPO/Exit for various startups.
  • Space Robotics: Bezos has no chill. And then there’s satellite ride sharing and the non-Hollywood version of Space Balls.
  • Crypto: IBM’s building their own “decentralized” service so the question is whether large enterprises value with their securitization or whether they just go for Ethereum. UBS charges customers to deposit Euros. What? Meanwhile HERMES posts record annual profits. Luxury + Cryptocurrency rises. Bitcoin’s 1 week chart goes down while Ethereum’s goes up.
  • Video: Apple gets into Linear TV for social media while Twitter opens up their Live Periscope API. Movie in a text message is coming, this is our previous analysis on it in HuffPo (#throwback).
  • AR: Take a watch through this novel gaming video and tell us it’s not where AR is truly headed.
  • Ethics: Worried about conflict of interest of investing in public equities when you work with lots of companies? Invest in Ethereum or Bitcoin instead.
  • Energy: we’ve now invented the most efficient solar cell in existence, with the record now at 26% efficiency.
  • Robotics: so we can 3D print bacteria now? There’s gold in them thar biorobotics. However, most startups today think they start with microservice APIs, build a platform, then sell it using a SAAS business model. But AI for Robotics is 100% not this. It’s unconnected and on-prem.
  • Apple: their secret Paris hideout is for real whilst their Workflow acquisition is the prelude to a system-level Siri kiss.
  • Design: a beautifully designed deck on Design in Tech, plus a spot on China for good measure.
  • Product Jobs: The VP Product from Jet is now the CEO of Digg.
  • Business: Restaurants and clubs are really tough businesses, even if they have sex appeal. Too much competition pushes profits, and revenue, to zero. One of the best in the US only pulls down $35M in revenue per year. Compare that to the tech companies.
  • Retail: 55% of customers start their search on Amazon, not Google. Meanwhile, Nike’s CEO said lackluster results stem from more customers shopping online. I get you have physical stores, but c’mon you should be killin it.
  • Sports: AirPods for lifting, or anything really. Count us in.
  • Trolls: someone submitted The Base Code’s latest analysis to Hacker News and the trolls came in too fast and too furious. Remember when PG said he’d shut HN down if it turned into that? There’s a reason I haven’t submitted any Humanizing Tech stories to that forum in years.
  • Wearables: now with their own personal power station.
  • Homes: So AirBnB and Alphabet are wanting to get into the housing business. We understood this nearly a year ago and people laughed at it. But at this point, you’ve probably already realized this is standard fare for everything we do that eventually gets proven correct.
Strategy
Step 1: media business (eyeballs)
Step 2: product business (R&D)
Step 3: finance business (cash)
Step 4: create one giant flywheel

Sean

Read The Rest

34, 33, 32, 31, 30, 29, 28, 27, 26, 25, 24, 23, 22, 21, 20, 19, 18, 17, 16, 15, 14, 13, 12, 11, 10, 9, 8, 7, 6, 5, 4, 3, 21

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Humanizing Tech is a premium technological think tank for building humanity’s future. It covers autonomous robotics, self-learning AI, superhuman augmentation, personal hedge funds, editable DNA, SAAS space platforms, personal power stations, and video as an app. This newsletter is a peek inside the Editor’s mind.


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